FoundationAgents/MetaGPT

🧠 Multi-Agent Framework That Runs a Software Company on LLM Roles

One line in, a full software repo out — MetaGPT simulates a software company staffed by specialized AI agents.

MetaGPT, developed by FoundationAgents, turns a single natural-language requirement into a complete software project by assigning distinct roles to LLM-powered agents — product managers, architects, project managers, and engineers. Built on the philosophy that Code = SOP(Team), it orchestrates these agents through standardized workflows to handle everything from user stories and data structures to APIs and documentation.

✨ Highlights

• Role-based agents: Assigns GPTs to roles like product manager, architect, and engineer to collaborate on complex tasks.
• End-to-end pipeline: Generates user stories, competitive analysis, requirements, data structures, APIs, and documents from a single prompt.
• SOP-driven development: Encodes software company processes into repeatable, orchestrated workflows for LLM teams.
• CLI and library support: Usable via metagpt "Create a 2048 game" or imported as a Python library.
• Data Interpreter: Enables data analysis tasks like running scripts on datasets with visualization.
• Multi-language docs: Available in English, Chinese, French, and Japanese.
• Docker and conda support: Flexible installation options including Docker, conda, and pip.
• Active research: Backed by papers like AFlow (ICLR 2025) and tools like SPO and AOT.

💡 Why it matters

Unlike single-agent LLM tools that generate code snippets, MetaGPT models an entire software company, coordinating multiple AI roles through structured workflows. This makes it uniquely suited for complex, multi-step software development tasks where planning, documentation, and code generation must stay aligned.

It bridges the gap between natural language and executable software, offering a pragmatic path toward autonomous software engineering.

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